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Use GPT4 and GPT3.5 on inputs of unlimited size. Uses multithreading to process multiple chunks in parallel. Useful for tasks like Named Entity Recognition, information extraction on large books, datasets, etc.

This repository will guide you to create your own Smart Virtual Assistant like Google Assistant using Open AI's ChatGPT, Whisper. The entire solution is created using Python & Gradio.

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We turn natural language descriptions of behaviors into machine-executable code

Start developing and backtesting your own automated trading strategies

Open source remote sensing dataset with benchmarks

scikit-learn wrappers for Python fastText.

Water Detect Algorithm

ChatGPT for lecture slides

A collection of Jupyter Notebooks for learning Python for Data Science.

Code for Arxiv 2023: Improving Language Model Negociation with Self-Play and In-Context Learning from AI Feedback

Multilingual Generative Pretrained Model

Feature Engineering and Feature Importance in Machine Learning for Financial Markets

recommender system tutorial with Python

A collection of prompts for use with GPT-4 via ChatGPT, OpenAI API w/ Gradio frontend & notebook

Repo for code examples in Quantitative Finance with Python (1st edition) by Chris Kelliher

Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance

A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data

⬛ Python Individual Conditional Expectation Plot Toolbox

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

A Python implementation of the rough Bergomi model.

The first realistic and public dataset with rare undesirable real events in oil wells.

American Gut open-access data and IPython notebooks

This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.

ChatGPT API Usage using LangChain, LlamaIndex, Guardrails, AutoGPT and more

A comparison of ffmpeg, Shotdetect and PySceneDetect for shot transition detection

A library that implements fairness-aware machine learning algorithms

Code repository for Pricing and Trading Interest Rate Derivatives